Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. - Richard Alvarez; Paras Bhatt; Xingmeng Zhao; Anthony Rios (ICWSM, 2022)

UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. - Xingmeng Zhao; Anthony Rios (SemEval@NAACL, 2022)

UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. - Tongnian Wang; Xingmeng Zhao; Anthony Rios (BioNLP@ACL, 2023)

Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. - Xingmeng Zhao; Xavier Walton; Suhana Shrestha; Anthony Rios (CoRR, 2023)

BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? - Xingmeng Zhao; Tongnian Wang; Sheri Osborn; Anthony Rios (CoRR, 2023)

A marker-based neural network system for extracting social determinants of health. - Xingmeng Zhao; Anthony Rios (J. Am. Medical Informatics Assoc., 2023)

UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction. - Xingmeng Zhao; Anthony Rios (ClinicalNLP@NAACL, 2024)

A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. - Xingmeng Zhao; Ali Niazi; Anthony Rios (NAACL-HLT, 2024)

Translating Natural Language Specifications into Access Control Policies by Leveraging Large Language Models. - Sherifdeen Lawal; Xingmeng Zhao; Anthony Rios; Ram Krishnan; David F. Ferraiolo (TPS-ISA, 2024)

Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary. - Xingmeng Zhao; Tongnian Wang; Anthony Rios (CoRR, 2024)

Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations. - James Ford; Xingmeng Zhao; Daniel Schumacher; Anthony Rios (COLING, 2025)

Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. - Xingmeng Zhao; Daniel Schumacher; Sashank Nalluri; Suhana Shrestha; Xavier Walton; Anthony Rios (ICWSM, 2025)